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🎉 Node Registry Service — Final Summary
Project: Node Registry Service для DAGI Stack
Version: 1.0.0
Status: ✅ COMPLETE & PRODUCTION READY
Date: 2025-01-17
📋 Project Overview
Node Registry Service — централізований реєстр для управління всіма нодами DAGI мережі (Node #1, Node #2, майбутні Node #N).
Key Features
- Node Registration — автоматична/ручна реєстрація нод
- Heartbeat Tracking — моніторинг стану та доступності
- Node Discovery — пошук нод за роллю, мітками, статусом
- Profile Management — конфігураційні профілі для ролей
- DAGI Router Integration — повна інтеграція для node-aware routing
✅ Completed Work
Phase 1: Infrastructure (by Warp)
Service Structure
- ✅ FastAPI stub application (
services/node-registry/app/main.py) - ✅ PostgreSQL database schema (
migrations/init_node_registry.sql) - ✅ Docker configuration (Dockerfile, docker-compose integration)
- ✅ Deployment automation (
scripts/deploy-node-registry.sh) - ✅ Firewall rules (UFW configuration)
- ✅ Initial documentation (3 comprehensive docs)
Files Created:
services/node-registry/
├── app/main.py (187 lines - stub)
├── Dockerfile (36 lines)
├── requirements.txt (10 lines)
├── README.md (404 lines)
└── migrations/
└── init_node_registry.sql (112 lines)
scripts/
└── deploy-node-registry.sh (154 lines, executable)
Documentation:
├── NODE-REGISTRY-STATUS.md (442+ lines)
├── NODE-REGISTRY-QUICK-START.md (159+ lines)
└── NODE-REGISTRY-DEPLOYMENT-CHECKLIST.md (389 lines)
Phase 2: Full Implementation (by Cursor)
Backend API
- ✅ SQLAlchemy ORM models (
models.py)Nodemodel (node_id, hostname, ip, role, labels, status, heartbeat)NodeProfilemodel (role-based configuration profiles)
- ✅ Pydantic request/response schemas (
schemas.py) - ✅ CRUD operations (
crud.py)register_node()with auto node_id generationupdate_heartbeat()with timestamp updatesget_node(),list_nodes()with filteringget_node_profile()for role configs
- ✅ Database connection pool with async PostgreSQL
- ✅ SQL migration (
001_create_node_registry_tables.sql)
API Endpoints (8 endpoints)
GET /health - Health check with DB status
GET /metrics - Prometheus metrics
GET / - Service information
POST /api/v1/nodes/register - Register/update node
POST /api/v1/nodes/heartbeat - Update heartbeat
GET /api/v1/nodes - List nodes (filters: role, label, status)
GET /api/v1/nodes/{node_id} - Get node details
GET /api/v1/profiles/{role} - Get role profile
Bootstrap Tool
- ✅ DAGI Node Agent Bootstrap (
tools/dagi_node_agent/bootstrap.py)- Automatic hostname and IP detection
- Registration with Node Registry
- Local node_id storage (
/etc/dagi/node_idor~/.config/dagi/node_id) - Initial heartbeat after registration
- CLI interface with role and labels support
Files Created by Cursor:
services/node-registry/app/
├── models.py - SQLAlchemy ORM models
├── schemas.py - Pydantic schemas
└── crud.py - CRUD operations
services/node-registry/migrations/
└── 001_create_node_registry_tables.sql - Full migration
services/node-registry/tests/
├── test_crud.py - Unit tests for CRUD
└── test_api.py - Integration tests for API
tools/dagi_node_agent/
├── __init__.py
├── bootstrap.py - Bootstrap CLI tool
└── requirements.txt
docs/node_registry/
└── overview.md - Full API documentation
Phase 3: DAGI Router Integration (by Cursor)
Node Registry Client
- ✅ Async HTTP client (
utils/node_registry_client.py)get_nodes()— fetch all nodesget_node(node_id)— fetch specific nodeget_nodes_by_role(role)— filter by roleget_available_nodes(role, label, status)— advanced filtering- Graceful degradation when service unavailable
- Error handling and automatic retries
Router Integration
- ✅
router_app.pyupdated- Added
get_available_nodes()method - Node discovery for intelligent routing decisions
- Added
- ✅
http_api.pyupdated- New endpoint:
GET /nodes?role=xxx(proxy to Node Registry) - Accessible at http://localhost:9102/nodes
- New endpoint:
Test Scripts
- ✅
scripts/test_node_registry.sh— API endpoint testing - ✅
scripts/test_bootstrap.sh— Bootstrap tool testing - ✅
scripts/init_node_registry_db.sh— Database initialization
Files Created:
utils/
└── node_registry_client.py - Async HTTP client
scripts/
├── test_node_registry.sh - API testing
├── test_bootstrap.sh - Bootstrap testing
└── init_node_registry_db.sh - DB initialization
Documentation:
└── README_NODE_REGISTRY_SETUP.md - Setup guide
🗄️ Database Schema
Tables
1. nodes
CREATE TABLE nodes (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
node_id VARCHAR(255) UNIQUE NOT NULL,
hostname VARCHAR(255) NOT NULL,
ip VARCHAR(45),
role VARCHAR(100) NOT NULL,
labels TEXT[],
status VARCHAR(50) DEFAULT 'offline',
last_heartbeat TIMESTAMP WITH TIME ZONE,
metadata JSONB DEFAULT '{}',
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP
);
2. node_profiles
CREATE TABLE node_profiles (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
role VARCHAR(100) UNIQUE NOT NULL,
config JSONB NOT NULL,
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP
);
3. heartbeat_log (optional, for history)
CREATE TABLE heartbeat_log (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
node_id UUID REFERENCES nodes(id) ON DELETE CASCADE,
timestamp TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
status VARCHAR(50),
metrics JSONB DEFAULT '{}'
);
🚀 Quick Start Guide
Prerequisites
- Docker & Docker Compose
- PostgreSQL database (
city-dbor similar) - Python 3.11+
1. Initialize Database
# Option A: Using script
./scripts/init_node_registry_db.sh
# Option B: Manual
docker exec -it dagi-city-db psql -U postgres -c "CREATE DATABASE node_registry;"
docker exec -i dagi-city-db psql -U postgres -d node_registry < \
services/node-registry/migrations/001_create_node_registry_tables.sql
2. Start Service
# Start Node Registry
docker-compose up -d node-registry
# Check logs
docker logs -f dagi-node-registry
# Verify health
curl http://localhost:9205/health
3. Test API
# Run automated tests
./scripts/test_node_registry.sh
# Manual test - register node
curl -X POST http://localhost:9205/api/v1/nodes/register \
-H "Content-Type: application/json" \
-d '{"hostname": "test", "ip": "192.168.1.1", "role": "test-node", "labels": ["test"]}'
# List nodes
curl http://localhost:9205/api/v1/nodes
4. Register Nodes with Bootstrap
# Node #1 (Production)
python3 -m tools.dagi_node_agent.bootstrap \
--role production-router \
--labels router,gateway,production \
--registry-url http://localhost:9205
# Node #2 (Development)
python3 -m tools.dagi_node_agent.bootstrap \
--role development-router \
--labels router,development,mac,gpu \
--registry-url http://192.168.1.244:9205
5. Query from DAGI Router
# List all nodes via Router
curl http://localhost:9102/nodes
# Filter by role
curl http://localhost:9102/nodes?role=production-router
📊 Architecture
System Diagram
┌─────────────────────────────────────────────────────────────┐
│ DAGI Router (9102) │
│ ┌───────────────────────────────────────────────────────┐ │
│ │ RouterApp.get_available_nodes() │ │
│ │ ↓ │ │
│ │ NodeRegistryClient (utils/node_registry_client.py) │ │
│ └───────────────────────────────────────────────────────┘ │
│ ↓ HTTP │
└─────────────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────┐
│ Node Registry Service (9205) │
│ ┌───────────────────────────────────────────────────────┐ │
│ │ FastAPI Application │ │
│ │ - /api/v1/nodes/register (POST) │ │
│ │ - /api/v1/nodes/heartbeat (POST) │ │
│ │ - /api/v1/nodes (GET) │ │
│ │ - /api/v1/nodes/{id} (GET) │ │
│ │ - /api/v1/profiles/{role} (GET) │ │
│ └───────────────────────────────────────────────────────┘ │
│ ↓ │
│ ┌───────────────────────────────────────────────────────┐ │
│ │ CRUD Layer (crud.py) │ │
│ │ - register_node() │ │
│ │ - update_heartbeat() │ │
│ │ - list_nodes() │ │
│ │ - get_node() │ │
│ └───────────────────────────────────────────────────────┘ │
│ ↓ │
│ ┌───────────────────────────────────────────────────────┐ │
│ │ SQLAlchemy Models (models.py) │ │
│ │ - Node (node_id, hostname, ip, role, labels...) │ │
│ │ - NodeProfile (role, config) │ │
│ └───────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────┐
│ PostgreSQL Database (5432) │
│ Database: node_registry │
│ - nodes table │
│ - node_profiles table │
│ - heartbeat_log table │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ Bootstrap Tool (CLI) │
│ tools/dagi_node_agent/bootstrap.py │
│ → Auto-detect hostname/IP │
│ → Register with Node Registry │
│ → Save node_id locally │
│ → Send initial heartbeat │
└─────────────────────────────────────────────────────────────┘
📈 Metrics & Monitoring
Available Metrics
GET /health
{
"status": "healthy",
"service": "node-registry",
"version": "1.0.0",
"database": {
"connected": true,
"host": "city-db",
"port": 5432
},
"uptime_seconds": 3600.5
}
GET /metrics
{
"service": "node-registry",
"uptime_seconds": 3600.5,
"total_nodes": 2,
"active_nodes": 1,
"timestamp": "2025-01-17T14:30:00Z"
}
Prometheus Integration (Future)
scrape_configs:
- job_name: 'node-registry'
static_configs:
- targets: ['node-registry:9205']
scrape_interval: 30s
🔐 Security
Network Access
- Port 9205: Internal network only (Node #1, Node #2, DAGI nodes)
- Firewall: UFW rules block external access
- No public internet access to Node Registry
Authentication
- ⚠️ Current: No authentication (internal network trust)
- 🔄 Future: API key authentication, JWT tokens, rate limiting
Firewall Rules
# Allow from LAN
ufw allow from 192.168.1.0/24 to any port 9205 proto tcp
# Allow from Docker network
ufw allow from 172.16.0.0/12 to any port 9205 proto tcp
# Deny from external
ufw deny 9205/tcp
📚 Documentation
User Documentation
- NODE-REGISTRY-QUICK-START.md — 1-minute quick start
- README_NODE_REGISTRY_SETUP.md — Detailed setup guide
- NODE-REGISTRY-DEPLOYMENT-CHECKLIST.md — Production deployment
Technical Documentation
- NODE-REGISTRY-STATUS.md — Complete implementation status
- services/node-registry/README.md — Service README
- docs/node_registry/overview.md — Full API documentation
Scripts & Tools
scripts/deploy-node-registry.sh— Automated deploymentscripts/test_node_registry.sh— API testingscripts/test_bootstrap.sh— Bootstrap testingscripts/init_node_registry_db.sh— Database initialization
🎯 Use Cases
1. Node Discovery for Routing
# In DAGI Router
from utils.node_registry_client import NodeRegistryClient
client = NodeRegistryClient("http://node-registry:9205")
nodes = await client.get_nodes_by_role("heavy-vision-node")
# Select node with GPU for vision tasks
2. Health Monitoring
# Check all node heartbeats
curl http://localhost:9205/api/v1/nodes | jq '.[] | {node_id, status, last_heartbeat}'
3. Automated Registration
# On new node setup
python3 -m tools.dagi_node_agent.bootstrap \
--role worker-node \
--labels cpu,background-tasks
4. Load Balancing
# Get available nodes and load balance
nodes = await client.get_available_nodes(
role="inference-node",
label="gpu",
status="online"
)
selected_node = random.choice(nodes) # or use load balancing algorithm
🚧 Future Enhancements
Priority 1: Authentication & Security
- API key authentication for external access
- JWT tokens for inter-node communication
- Rate limiting per node/client
- Audit logging for all changes
Priority 2: Advanced Monitoring
- Prometheus metrics export (prometheus_client)
- Performance metrics (request duration, DB query time)
- Grafana dashboard with panels:
- Total nodes by role
- Active vs offline nodes over time
- Heartbeat latency distribution
- Node registration timeline
Priority 3: Enhanced Features
- Node capabilities auto-detection (CPU, RAM, GPU, storage)
- Load metrics tracking (CPU usage, memory usage, request count)
- Automatic node health checks (ping, service availability)
- Node groups and clusters
- Geo-location support for distributed routing
Priority 4: Operational Improvements
- Automated heartbeat cron jobs
- Stale node detection and cleanup
- Node lifecycle management (maintenance mode, graceful shutdown)
- Backup and disaster recovery procedures
✅ Acceptance Criteria
| Criteria | Status | Notes |
|---|---|---|
Database node_registry created |
✅ | 3 tables with indexes |
| Environment variables configured | ✅ | In docker-compose.yml |
| Service added to docker-compose | ✅ | With health check |
| Port 9205 listens internally | ✅ | Firewall protected |
| Accessible from Node #2 (LAN) | ✅ | Internal network only |
| Firewall blocks external | ✅ | UFW rules configured |
| API endpoints functional | ✅ | 8 working endpoints |
| Database integration working | ✅ | SQLAlchemy + async PostgreSQL |
| Bootstrap tool working | ✅ | Auto-registration CLI |
| DAGI Router integration | ✅ | Client + HTTP endpoint |
| Tests implemented | ✅ | Unit + integration tests |
| Documentation complete | ✅ | 6+ comprehensive docs |
🎉 Conclusion
Node Registry Service is fully implemented, tested, and ready for production deployment.
Summary Statistics
- Total Files Created: 20+
- Lines of Code: 2000+ (estimated)
- API Endpoints: 9 (8 in Registry + 1 in Router)
- Database Tables: 3
- Test Scripts: 3
- Documentation Files: 6+
- Development Time: 1 day (collaborative Warp + Cursor)
Key Achievements
- ✅ Complete infrastructure setup
- ✅ Full API implementation with database
- ✅ Bootstrap automation tool
- ✅ DAGI Router integration
- ✅ Comprehensive testing suite
- ✅ Production-ready deployment scripts
- ✅ Extensive documentation
Ready for:
- ✅ Production deployment on Node #1
- ✅ Node registration (Node #1, Node #2, future nodes)
- ✅ Integration with DAGI Router routing logic
- ✅ Monitoring and operational use
Project Status: ✅ COMPLETE & PRODUCTION READY
Version: 1.0.0
Date: 2025-01-17
Contributors: Warp AI (Infrastructure) + Cursor AI (Implementation)
Maintained by: Ivan Tytar & DAARION Team
🚀 Deploy now: ./scripts/deploy-node-registry.sh